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The great PNW AI news roundup: July 4-8

  • pnw.ai staff
7/8/2022

Microsoft highlights the carbon footprint of its AI services, some artificially intelligent smart fishing, the virgin trip of the autonomous Mayflower, and using machine learning to predict hurricane intensity: These are the biggest and best stories about AI as seen through the lens of pnw.ai.

The biggest splash AI made in The Culture this summer so far — apart from the debate over sentient chatbots at Google — has probably come courtesy of Open AI’s Dall-E image generator. The official service has been open to beta users since April, but once a smaller-scale technology was released to the public courtesy of Craiyson (née Dall-E Mini), images generated by every Twitter user’s word soup began to go viral.

Dall-E has rekindled the omnipresent debate over whether artists of the more human variety now face extinction.

Meanwhile, in suitably July 4th-adjacent news, a crewless vessel piloted by AI, not-so-subtly dubbed the Mayflower, completed its historic journey across the Atlantic. It wasn’t a perfect run, as technical troubles stranded the ship in Portugal for an unplanned stop, but it’s being heralded as a breakthrough in AI tech nonetheless.

The Bellevue-based developer boot camp company Coding Dojo nabbed $10 million in investment to train the next generation of engineers — and presumably, of AI professionals.

And a documentary called Fishing Smarter, made by the sustainability nonprofit the Environmental Defense Fund, caught the eye of the trade paper the National Fisherman. The Oregon Department of Fish and Wildlife was a partner. Per the Fisherman:

“The documentary also shows how technologies… are being created to solve the world’s fisheries challenges — or improve already sustainable fisheries — through use of modern tech and the collection of accurate, timely data. Developed over the last three years by experts at EDF and its partners… SmartPass is an innovative fishery monitoring approach which leverages shore-based cameras and machine learning to provide fishery managers with near real-time estimates of marine recreational fishing effort.”

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